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Showing 1–8 of 8 results
Advanced filters: Author: Maria J. Donde Clear advanced filters

  • RNA viruses have been responsible for large-scale epidemics and pandemics throughout the last few centuries. Here, the authors show the design, synthesis and screening of artificial RNA endonuclease XNAzymes capable of cleaving genomic SARS-CoV-2 RNA and self-assembling into enzymatic nanostructures inhibiting cellular viral replication.

    • Pehuén Pereyra Gerber
    • Maria J. Donde
    • Alexander I. Taylor
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12

  • The role of developmental pathways in medulloblastoma tumours (MB) with sonic hedgehog (SHH) activation remains to be explored. Here, the authors perform multi-omic analysis and characterise the key transcriptomic and metabolic patterns of highly differentiated cells in SHH MBs.

    • Maxwell P. Gold
    • Winnie Ong
    • Ernest Fraenkel
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-20

  • Oligonucleotide catalysts such as ribozymes and DNAzymes can cleave RNA efficiently and specifically but are typically dependent on high concentrations of divalent cations, limiting their biological applications. A modular XNAzyme catalyst composed of 2′-deoxy-2′-fluoro-β-d-arabino nucleic acid (FANA) has now been developed that can cleave long (>5 kb), highly structured mRNAs under physiological conditions and enables allele-specific catalytic RNA knockdown inside cells.

    • Alexander I. Taylor
    • Christopher J. K. Wan
    • Philipp Holliger
    Research
    Nature Chemistry
    Volume: 14, P: 1295-1305

  • Amyotrophic Lateral Sclerosis (ALS) is highly heritable but the mechanisms of sporadic ALS are not fully understood. In this study, the authors identify drivers of variation and disease-relevant changes in the epigenomic profile of iPSC-derived motor neuron lines generated from ALS patients and healthy controls as part of the Answer ALS program.

    • Stanislav Tsitkov
    • Kelsey Valentine
    • Ernest Fraenkel
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-15

  • A machine learning approach is presented to identify dominant patterns in disease progression in amyotrophic lateral sclerosis (ALS), Alzheimer’s disease and Parkinson’s disease. The nonlinearity of ALS progression has important clinical implications.

    • Divya Ramamoorthy
    • Kristen Severson
    • Ernest Fraenkel
    ResearchOpen Access
    Nature Computational Science
    Volume: 2, P: 605-616

  • Answer ALS is a resource of patient-derived iPS cell lines, multi-omic data derived from iPS neurons and longitudinal clinical and smartphone data from over 1,000 patients with ALS. This serves as a foundation to identify distinct disease subgroups.

    • Emily G. Baxi
    • Terri Thompson
    • Jeffrey D. Rothstein
    ResearchOpen Access
    Nature Neuroscience
    Volume: 25, P: 226-237

  • Engineered RNA endonuclease XNAzymes can specifically target individual disease-associated non-coding RNAs (ncRNAs) in vitro with potential as platform technology for precision detection or knockdown of individual microRNAs or longer ncRNAs.

    • Maria J. Donde
    • Adam M. Rochussen
    • Alexander I. Taylor
    ResearchOpen Access
    Communications Biology
    Volume: 5, P: 1-10